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All Projects → wataruhashimoto52 → Seq2Seq-chatbot

wataruhashimoto52 / Seq2Seq-chatbot

Licence: other
TensorFlow Implementation of Twitter Chatbot

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningchatbotrecurrent-neural-networksseq2seq

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Seq2Seq chatbot (ja)

Overview

Description

This is seq2seq chatbot.

Requirement

python 3.5.2
Tensorflow r1.2
Mecab
tweepy

Demo

  1. Prepare train data.

    1, Registration to the Twitter API(https://apps.twitter.com).

    2, Extraction of consumerkey, consumer secret key, access token key and access token secret key.

    3, Installation forego.

    $ brew install forego

    Then, please make .env file and write consumerkey, consumer secret key, access token key and access token secret key.

    $ vi .env

    CONSUMER_KEY=...
CONSUMER_SECRET=...
ACCESS_TOKEN=...
ACCESS_TOKEN_SECRET=...

    4, $ forego run python twitter_replies.py

  2. Preprocess the train data and generate vocabulary files, ID files, and some ones.

    $ python data_processor.py

  3. Train seq2seq chatbot. When perplexity went down sufficiently and you think it's time to run, just ctrl-c to stop learning.

    $ python train.py

  4. Let's talk to him.

    $ python predict.py

Contribution

Author

[wataruhashimoto52] https://github.com/wataruhashimoto52

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